Hibernate.Shards.Test

KLT tracker image processing

基于循环移位寄存器的ldpc编码的仿真程序,好程序啊,(cycle shift register on the ldpc coded simulation program, the program ah,)

卡尔曼滤波器的编码程序，基础程序可以好好学习下，希望有帮助！(Kalman filter coding procedures, based on the program can learn under, want to help!)

In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequal costs. This scenario occurs in many real-world applications. For example, in some disease diagnosis, the cost of erroneously diagnosing a patient as healthy is much higher than that of diagnosing a healthy person as a patient. Also, the acquisition of labeled data requires medical diagnosis which is expensive, while the collection of unlabeled data such as basic health information is much cheaper

三维图形matlab实现,说明了个函数的用法，给出了结果(picture drawed by matlab)

学习MATLAB发的好教材，本电子文档主要讲解了MATLAB的主要算法设计，里面有详细的说明(Learning the MATLAB hair is good material , the electronic document explains the MATLAB algorithm design , which are described in detail )

神经网络代码,用于区分种类，里面有详细例子(Neural network code)

4-9-1的结构ga-lm的bp算法 有示例数值 不是拟合而是预测(4-9-1 structure of ga-lm bp algorithm is not fit but there are examples of numerical prediction)

说明：  600个大型项目源码之一： MATLAB与VC++混合编程实现一维小波多尺度分解 小波分析世纪80年代开始发展成熟起来的一个数学分支，其应用领域十分广泛，并逐步成为信号分析的又一有力工具。MATLAB的小波工具箱为我们提供了小波多尺度分解函数，方便了我们对小波的使用。但是用它所编写的软件不能脱离MATLAB编程环境在Windows平台下直接运行，代码执行效率低下，运行时占较多的系统资源，不能达到某些用户的需求。 VC++是由美国Microsoft 公司开发的可视化C/C++集成编程环境，是目前功能最强大的软件开发工具之一。被广泛应用于Win32平台的基础应用程序的开发。 它具有强大的图形界面编程能力且代码执行效率高，可生成脱离VC++环境而独立运行的应用程序。可是VC++在数值处理分析和算法工具等方面不如MATLAB。 本文结合VC++和MATLAB 的各自优点，以VC++图形界面作为前台框架，MATLAB作为后台进行数值运算和数据可视化，利用组件对象模型（COM）技术作为媒介，实现了一维小波多尺度分解。 (matlab and vc++ program: Wavelets are a class of a functions used to localize a given function in both space and scaling. A family of wavelets can be constructed from a function ... )

说明：  另一个解决无模型自适应控制问题的Simulink模型，可以作为学习MFA的参考 (Another solution to the issue of model-free adaptive control of the Simulink model can be used as reference for learning MFA)